Fredrick Ahenkora Boamah | Infrastructure Engineering | Best Researcher Award

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Mr. Fredrick Ahenkora Boamah | Infrastructure Engineering | Best Researcher Award

Western Sydney University | Australia

Professional Profile

Mr. FREDRICK AHENKORA BOAMAH

🎓EARLY ACADEMIC PURSUITS 

Fredrick Ahenkora Boamah embarked on his academic journey with a strong foundation in engineering and construction. He first acquired a Construction Technician certification from Accra Technical University (2009-2010) before pursuing a Bachelor of Science in Construction Technology at Kaaf University College (2011-2014). His passion for advancing knowledge led him to obtain a Master of Science in Construction Management from Kwame Nkrumah University of Science and Technology (2015-2016). He is currently pursuing a PhD in Engineering at Western Sydney University, demonstrating his commitment to continuous learning and research.

🏗️PROFESSIONAL ENDEAVORS 

Fredrick has accumulated a wealth of experience in the construction and academic sectors. He has held roles ranging from Project Supervisor at Nkwa Ne Adom Const. Works (2007-2011) to Senior Project Engineer at Smartech Planet Services Ltd. (2014-2019), where he managed critical infrastructure projects such as classroom blocks, water supply systems, and municipal roads. His leadership in construction project execution has significantly contributed to the development of key facilities in Ghana.

🔬CONTRIBUTIONS AND RESEARCH FOCUS ON INFRASTRUCTURE ENGINEERING

As a Research Fellow at Western Sydney University, Fredrick focuses on academic research in Construction Economics and Project Performance. His work as a Teaching and Research Assistant at Accra Technical University (2019-2023) and Kaaf University College (2011-2014) involved mentoring students, developing course materials, and publishing academic papers. His research interests align with improving construction methodologies, sustainability, and economic efficiency in project management.

🌍IMPACT AND INFLUENCE 

Fredrick has played a pivotal role in both academia and industry, influencing students and professionals alike. Through his teaching, research, and engineering projects, he has contributed to knowledge dissemination and the practical implementation of innovative construction techniques. His memberships in esteemed institutions such as the International Association of Engineers (MIAENG) and the Ghana Institute of Construction (MGIOC) reflect his dedication to professional excellence and industry growth.

📚ACADEMIC CITES AND LEGACY 

Fredrick’s academic work has been recognized through publications and citations in scholarly journals. His involvement in research projects and contribution to construction policy development highlight his influence in shaping future engineering practices. His extensive experience in invigilation and tutoring further solidifies his role as an educator and mentor.

🔮FUTURE CONTRIBUTIONS 

Looking ahead, Fredrick aims to drive innovation in construction project management, focusing on sustainable and cost-effective building solutions. His ongoing PhD research and active engagement in academic and professional circles position him as a thought leader in the industry. His vision includes fostering the next generation of engineers and contributing to global advancements in construction technology.

🎯CONCLUSION 

Fredrick Ahenkora Boamah embodies a blend of academic excellence, professional expertise, and research-driven impact. His journey from a construction supervisor to a PhD researcher highlights his dedication to growth and knowledge-sharing. With a strong foundation in engineering, an impressive portfolio of projects, and a clear vision for the future, Fredrick continues to make significant strides in academia and industry, leaving a lasting legacy in construction and engineering.

📊Publications Top Noted

  • Transition from Traditional Knowledge Retrieval into AI-Powered Knowledge Retrieval in Infrastructure Projects: A Literature Review

    • Authors: Fredrick Ahenkora Boamah, Xiaohua Jin, Sepani Senaratne, Srinath Perera
    • Journal: Infrastructures
    • Year: 2025

  • A Multi-Case Induction Adaptation Study of Tacit Knowledge Based on NRS and CBR

    • Authors: Jianhua Zhang, Liangchen Li, Fredrick Ahenkora Boamah, Shuwei Zhang, Longfei He
    • Journal: Kybernetes
    • Year: 2024

  • Factors of Tacit Knowledge Acquisition and Its Mechanism of Action on Academic Research Performance: An Empirical Research from Chinese Universities

    • Authors: Jianhua Zhang, Jiake Li, Sajjad Alam, Fredrick Ahenkora Boamah, Dandan Wen
    • Journal: Kybernetes
    • Year: 2024

  • Harnessing Technological Innovation Capabilities by the Mediating Effect of Willingness to Share Tacit Knowledge: A Case from Pakistani Software SMEs

    • Authors: Sherani, Jianhua Zhang, Muhammad Riaz, Fredrick Ahenkora Boamah, Sher Ali
    • Journal: Kybernetes
    • Year: 2024

  • An Empirical Evaluation of the Predictors and Consequences of Social Media Health-Misinformation Seeking Behavior during the COVID-19 Pandemic

    • Authors: Muhammad Riaz, Wu Jie, Mrs Sherani, Sher Ali, Fredrick Ahenkora Boamah, Yan Zhu
    • Journal: Internet Research
    • Year: 2024

 

Tianyi Li | Transportation Engineering | Best Researcher Award

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Prof. Tianyi Li | Transportation Engineering | Best Researcher Award

Assistant Professor, Saint Louis University, United States

Tianyi Li is an Assistant Professor in the Department of Civil Engineering at Saint Louis University. His research interests lie at the intersection of transportation engineering, cyber-physical systems (T-CPS), and machine learning, with a focus on traffic modeling, safety, and urban mobility. Prior to his current role, Li earned his Ph.D. in Transportation Engineering from the University of Minnesota, where he worked under the guidance of Dr. Raphael Stern. He holds a Master’s degree from the University of Washington and a Bachelor’s degree from Iowa State University. Li’s interdisciplinary expertise includes the application of data science and machine learning to improve traffic flow, safety, and sustainability. He has gained industry experience working with organizations like Futurewei Technology and the Washington State Department of Transportation. His ongoing research contributes significantly to advancing the understanding of smart cities, transportation systems, and public safety.

Profile

Orcid

Education 

Tianyi Li holds a Ph.D. in Transportation Engineering from the University of Minnesota, which he is expected to complete in June 2024. Under the mentorship of Dr. Raphael Stern, his doctoral research explores transportation-cyber-physical systems (T-CPS) and the integration of machine learning in transportation systems. Li also earned a Master of Science in Transportation Engineering from the University of Washington in December 2019, where he worked with Dr. Yinhai Wang. During his undergraduate years at Iowa State University, Li graduated with a Bachelor of Science in Civil Engineering in May 2017, earning cum laude honors and membership in Tau Beta Pi. He also received certifications in Python programming, machine learning, and data science through Coursera. Li’s academic training has provided him with a solid foundation in transportation engineering, data analysis, and the application of cutting-edge technologies like AI and machine learning to transportation systems.

Experience 

Tianyi Li has diverse experience both in academia and industry. Since August 2024, he has been serving as an Assistant Professor in the Department of Civil Engineering at Saint Louis University. In this role, he focuses on conducting research and teaching students about transportation systems, cyber-physical systems, and data science. Li’s industry experience includes a summer internship at Futurewei Technology in Bellevue, Washington, where he worked on applied machine learning for smart cities and contributed to a journal paper on taxi mobility services. In addition, he interned with the Washington State Department of Transportation in 2019, focusing on tolling data analysis, performance evaluations, and operational improvements. Li also gained early career experience as an Assistant Engineer Intern with China Railway First Group in 2017, where he participated in site surveys, field measurements, and AutoCAD drawing. His internships provided him valuable hands-on experience in the transportation field, bridging academic research and real-world applications.

Awards and Honors 

Tianyi Li has received numerous prestigious awards throughout his academic and professional career. Notable recognitions include the Dwight David Eisenhower Transportation Fellowship (2021-2024), which supports his ongoing research on transportation systems. He also received the Matthew J. Huber Award for Excellence in Transportation Research and Education in 2024, which acknowledges his exceptional contributions to the field of transportation engineering. Li has earned multiple Department of Civil, Environmental, and Geo-Engineering Travel Awards (2023), enabling him to present at international conferences. Additionally, he was awarded the Best Presentation Award at the UMN Transportation Seminar in 2022 for his outstanding work in transportation research. Other honors include the NSF Travel Award, the Transportation Research Board (TRB) Student Travel Award, and the 2022 ITS Minnesota Educational Scholarship. Li has also received multiple Dwight David Eisenhower Transportation Fellowships (2021-2023), which have supported his research initiatives in transportation safety and smart mobility.

Research Focus 

Tianyi Li’s research focuses on the intersection of transportation systems, cyber-physical systems (T-CPS), and machine learning. His work aims to integrate advanced data science techniques into transportation engineering to improve traffic flow, safety, and urban mobility. Key research topics include traffic estimation, modeling, and control, with a particular emphasis on leveraging machine learning and deep learning methods to optimize transportation systems. Li has explored the energy impacts of cyberattacks on adaptive cruise control vehicles, as well as the detection of stealthy cyberattacks on automated vehicles. His research also addresses transportation safety, including driver behavior at unsignalized intersections and pedestrian-driver interactions. Li’s focus on sustainable urban mobility involves developing innovative solutions for smart cities, incorporating the integration of public transit signal priority into traffic signal control. Overall, his interdisciplinary research aims to advance transportation infrastructure using emerging technologies to create safer, more efficient, and sustainable urban transportation systems.

Publications 

  1. Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota 🛣️🚗
  2. Exploring Energy Impacts of Cyberattacks on Adaptive Cruise Control Vehicles 🚙💻
  3. Naturalistic open-source pedestrian-driver yielding dataset collected in Minnesota 🚶‍♂️🚗
  4. Car-following-response Based Vehicle Classification via Deep Learning 🧠🚘
  5. Assessing the Impact of Disruptive Events on Urban Mobility: A Case Study of Chicago Taxis during COVID-19 🚖📉
  6. Integrating public transit signal priority into max-pressure signal control: Methodology and simulation study on a downtown network 🚍🚦
  7. Detecting Stealthy Cyberattacks on Automated Vehicles via Generative Adversarial Networks 🛑🤖
  8. Robustness of vehicle identification via trajectory dynamics to noisy measurements and malicious attacks 🚙🔒
  9. Taxi Utilization Rate Maximization by Dynamic Demand Prediction: A Case Study in the City of Chicago 🚖📊